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Data by Cluster

A cluster is a regional concentration of related industries that arise out of the various types of linkages or externalities that span across industries in a particular location. The U.S. Benchmark Cluster Definitions are designed to enable systemic comparison across regions. View and compare clusters across the U.S.

Data by Region

A region is broadly defined as a county, economic area (EA), metro/micropolitan statistical area (MSA), or state. The U.S. Benchmark Cluster Definitions use the U.S. Bureau of Economic Analysis defined economic areas. View and compare regions across the U.S.

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The Community of Practice enables practitioners to share Resources, post Blogs, and find partner Organizations. View and contribute content of interest to the cluster based economic development community.

Michael E. Porter launched the new U.S. Cluster Mapping tool on September 29, 2014 in Minneapolis as part of a two-day conference called Mapping the Midwest’s Future, held by the University of Minnesota’s Humphrey School of Public Affairs. The conference hosted over 150 business leaders, policymakers, economic development officials and academics from twelve Midwest states and four Canadian provinces. The Humphrey School of Public Affairs has compiled a full listing of presentations from the conference, with documentation where available.

On October 2, 2014, members of the core U.S. Cluster Mapping project team demoed the new website to members of SelectUSA, which is the U.S. government program that promotes & facilitates FDI & business investment in the United States.

On September 29, 2014, Professor Mercedes Delgado from Temple University's Fox School of Business and Professor Scott Stern from MIT Sloan School of Management delivered a presentation at Mapping the Midwest's Future, a conference held in Minneapolis and hosted by the University of Minnesota that officially launched the new U.S. Cluster Mapping tool. Their presentation focused on the underlying research and methodology behind cluster mapping, and the relevance of clusters to economic development, resilience from recessions, innovation, and improved regional economic performance.

On September 29, 2014, Professor Michael Porter delivered a keynote speech at Mapping the Midwest's Future, a conference held in Minneapolis and hosted by the University of Minnesota that officially launched the new U.S. Cluster Mapping tool. His presentation focused on U.S. competitiveness and cluster-based economic development, to reshape the approach to economic development in the U.S. based on a deeper understanding of the drivers of competitiveness in the modern global economy.

In 2013–14, Harvard Business School (HBS) conducted its third alumni survey on U.S. competitiveness. Our report on the findings focuses on a troubling divergence in the American economy: large and midsize firms have rallied strongly from the Great Recession, and highly skilled individuals are prospering. But middle and working-class citizens are struggling, as are small businesses. We argue that such a divergence is unsustainable, explore its root causes, and examine actions that might mitigate it. We ask in particular, how can we create a U.S.

Small businesses are core to America’s economic competitiveness. Not only do they employ half of the nation’s private sector workforce – about 120 million people – but since 1995 they have created approximately two‐thirds of the net new jobs in our country. Yet in recent years, small businesses have been slow to recover from a recession and credit crisis that hit them especially hard. This lag has prompted the question, “Is there a credit gap in small business lending?”

National prosperity is created, not inherited. It does not grow out of a country's natural endowments, its labor pool, its interest rates, or its currency's value, as classical economics insists.

A nation's competitiveness depends on the capacity of its industry to innovate and upgrade. Companies gain advantage against the world's best competitors because of pressure and challenge. They benefit from having strong domestic rivals, aggressive home-based suppliers, and demanding local customers.

We explore the impact of geographically bounded, intra-firm linkages (internal agglomerations) and geographically bounded, inter-firm linkages (external agglomerations) on firms’ location strategies. Using data from the Census Bureau’s Longitudinal Business Database, we analyze the locations of new establishments of biopharmaceutical firms in the U.S. in 1993–2005. We consider all activities in the value chain and allow location choices to vary by R&D, manufacturing, and sales. Our findings suggest that internal agglomerations have a positive impact on location.

Clusters are geographic concentrations of industries related by knowledge, skills, inputs, demand, and/or other linkages. A growing body of empirical literature has shown the positive impact of clusters on regional and industry performance, including job creation, patenting, and new business formation. There is an increasing need for cluster-based data to support research, facilitate comparisons of clusters across regions, and support policymakers and practitioners in defining regional strategies.